Have you ever been frustrated because your vacuum cleaner got stuck on a piece of furniture or fell over a toy? Or, even worse, have you ever come home to find your robot vacuum stuck in a tangle of cords or under a heavy piece of furniture? If so, you are not alone.
If you are trying to keep your house clean, these things can be a huge pain.
But suppose there was a way out? What if your vacuum could find things in its way and move around them easily? In this article, I will talk about how robot vacuums can sense obstacles and how that can change the way you clean your home.
Get ready to say goodbye to frustrating vacuum accidents and hello to a home that is cleaner and free of obstacles.
Obstacle Detection Technology in Vacuum Cleaners
Vacuum cleaners, especially robot vacuums, need technology that can find and avoid obstacles.
It helps the vacuum cleaner find and avoid things that might get in its way as it cleans.
Different ways can be used to find obstacles, such as 3D structured light sensors, infrared (IR) sensors, and image processing algorithms.
3D Structured Light Sensors
Some robot vacuum cleaners use 3D structured light sensors to automatically find, recognize, and avoid obstacles with high resolution and depth for better accuracy.
These sensors shine a pattern of light on the surface and measure how much the pattern is distorted to make a 3D map of the area.
With this technology, the robot vacuum can find and move around even small obstacles.
Infrared (IR) Sensors
Other robot vacuums use infrared (IR) sensors to find obstacles by using the image coordinates of the pixels in the image that belong to the IR line.
This technology can help find things like cords and shoes that can not be seen with the naked eye.
IR sensors send out a beam of light that hits an obstacle and bounces back to the sensor.
This lets the vacuum cleaner figure out how far away the obstacle is.
Object Recognition Technology
Large obstacles like walls, furniture, and chair legs are reliably picked up by LIDAR navigation and obstacle avoidance systems, which help the robot vacuum find its way around.
Object recognition technology can pick up small obstacles that these systems may miss.
Modern systems can even figure out what something is and how to clean around it without any help from a person.
Types of Sensors Used in Robot Vacuums
- Robot vacuum cleaners use various sensors to detect and avoid obstacles while cleaning. Some of the most common sensors include:
- Cliff Sensors: These sensors detect stairs or other drops and prevent the robot from falling off.
- Wall Sensors: These sensors detect walls and follow along them, allowing the robot to clean along edges where the wall meets the floor.
- Wheel Sensors: These sensors measure wheel rotation to determine how far the robot has traveled.
- Obstacle Sensors: These sensors scan the area with high-precision lasers and calculate the distance to potential impediments. These sensors work in unison with bumpers that have pressure sensors to define exactly where obstacles are located. When an obstacle is detected, the robot slows down to avoid causing damage to walls or furniture.
Adapted Vacuum Cleaners
There are also vacuum cleaners that can find and avoid obstacles or show them on a screen.
These vacuum cleaners have driving wheels and/or castor wheels that are made to do this when the cleaning device is moved forward at random speeds, like when a user pulls on the hose to move the vacuum forward.
An obstacle’s distance is measured and shown to the user from a distance.
This lets the user see the obstacle even when it is not in sight.
The image coordinates of pixels in a captured image that belong to an IR line can also be used to find obstacles.
Overall, algorithms and machine learning are used in obstacle detection technology to make it easier for robot vacuums to avoid obstacles while cleaning.
Vacuum cleaners can avoid walls, furniture, chair legs, shoes, cords, and low ottomans by detecting and avoiding them.
Robot vacuums can easily move around the house because they have sensors, cameras, lasers, and other systems that help them do this.
Benefits of Using a Vacuum Cleaner with Obstacle Detection Technology
Benefits of Obstacle Detection Technology
Efficient Cleaning: Vacuum cleaners with technology that can detect obstacles can move around them without getting stuck or damaging furniture or other things in the room.
This saves time and effort and makes sure the cleaning is done well.
Hazard Detection: These vacuums can avoid cleaning around things like pet messes or low ottomans that could be dangerous.
This makes sure that not only is the cleaning process effective, but that it is also safe.
Object Recognition: Robot vacuum cleaners with object recognition can find small obstacles that LIDAR navigation systems and obstacle avoidance features may miss.
With a score of 96 out of 100, the Roborock S7 MaxV Ultra is the best robot vacuum cleaner that can recognize objects.
Types of Sensors Used in Obstacle Detection Technology
Ultrasonic Sensors: Vacuum cleaners with obstacle detection technology have ultrasonic sensors that help them avoid big things like tables, chairs, walls, etc.
Ultrasonic sensing is useful for vacuum robots because it lets them detect both cliffs and floors.
3D Structured Light Sensors: This technology uses 3D structured light sensors to automatically find, recognize, and avoid obstacles with even higher resolution and depth for better hazard avoidance.
Laser Obstacle Avoidance: Compared to other technologies, lasers are thought to be more accurate, faster, less likely to cause interference, and have a better effective range.
Anti-Collision Sensors: Robot vacuums like DEEBOT and Dreame have active obstacle detection systems that help them avoid bumping into furniture, walls, and other household items.
Anti-collision sensors on these robots look for obstacles and send a message to the robot’s “brain” to tell it to slow down, change direction, and choose a new cleaning path.
Limitations of Obstacle Detection Technology
Even though the obstacle detection technology in vacuum cleaners is accurate enough to avoid most obstacles, it is important to remember that no technology is perfect, and there may be times when a robot vacuum cleaner does not see an obstacle.
Some robotic vehicles also have video cameras and other sensors that use light to avoid obstacles, but they can not see obstacles when the lighting is bad.
Over time, vacuum cleaners have become much better at detecting obstacles, which makes cleaning faster and safer.
Robot vacuum cleaners can avoid getting stuck or damaging furniture or other objects in the room by using ultrasonic sensors, 3D structured light sensors, laser obstacle avoidance, and anti-collision sensors.
Even though no technology is perfect, the obstacle detection technology in vacuum cleaners is good enough to keep them from running into most things.
Limitations and Drawbacks of Using a Vacuum Cleaner with Obstacle Detection Technology
Because they can move around obstacles and avoid collisions, vacuum cleaners with obstacle detection technology are becoming more and more popular.
But there are some problems with using these types of vacuum cleaners that you should think about before you buy one.
Limitations and Drawbacks
One problem with 3D ToF (time of flight) sensors is that they have low resolution and image data, which does not help much with avoiding obstacles.
Also, robot vacuums may have trouble avoiding wires, but the best ones can avoid getting tangled up in them.
Robots can not see well or move around the house easily when it is dark, so camera navigation alone might not work well at night.
Even though robot vacuums can sense when their batteries are low and go back to their charging base to get charged before continuing with their cleaning program, their autonomy is still limited by how long their batteries last.
If they are used to supplement regular vacuum cleaners instead of replacing them, the overall household consumption goes up.
Obstacle Detection Technology
The obstacle detection technology in vacuum cleaners does not change how well the vacuum cleaner can pick up dust and dirt.
Instead, it uses sensors like ultrasonic sensors or bumpers at the front to help the vacuum cleaner avoid bumping into things and get around them.
A vacuum cleaner with obstacle detection technology is the Ecovacs Deebot N8 Pro.
It can avoid large and small obstacles, like cables, thanks to its strong obstacle detection.
These vacuum cleaners have driving wheels and/or castor wheels that can sense and avoid obstacles.
Obstacle detection technology makes it easier to clean under furniture and in other hard-to-reach places where there may be hidden obstacles.
To be revised.
Floor Mapping: The Key to Effective Obstacle Detection in Vacuum Cleaners
Floor mapping is a crucial technology that enables vacuum cleaners to detect obstacles and navigate around them.
By creating a detailed map of the cleaning area, the vacuum cleaner can identify the location of furniture, walls, and other obstacles, and adjust its cleaning path accordingly.
This not only ensures that the vacuum cleaner cleans every inch of the floor, but also prevents it from colliding with objects and causing damage.
Floor mapping is particularly important for robotic vacuum cleaners, which rely on sensors and cameras to navigate autonomously.
With accurate floor mapping, these devices can clean efficiently and effectively, without getting stuck or missing spots.
As the demand for smarter and more efficient cleaning solutions grows, floor mapping technology is becoming increasingly relevant in the world of vacuum cleaners.
For more information:
Selecting a Vacuum Cleaner with Obstacle Detection Technology
Obstacle detection technology gives vacuum cleaners benefits like automation, less work, and time savings for day-to-day use.
However, they also have drawbacks like low resolution and image information from 3D ToF sensors and trouble avoiding wires.
Also, their range is limited by how long their batteries last.
Overall, vacuum cleaners that can detect obstacles are a useful addition to any home, but it is important to know what they can not do and what they can not do well before buying one.
There are a few things that customers should think about when choosing a vacuum cleaner with obstacle detection technology.
Some of these features are sensors for obstacles and cliffs, mapping technology, app integration, and battery life.
Robot vacuums can not work without sensors that can detect obstacles.
They help the vacuum move around small things like shoes and toys.
These sensors use infrared technology to find things in the path of the vacuum and change its path to avoid them.
Customers should look for vacuum cleaners with advanced sensors that can detect things in the way to make sure they clean well.
Robot vacuums have another important part called a cliff sensor.
They keep the vacuum from falling down stairs or other uneven surfaces.
These sensors use infrared technology to find drops in height and change the path of the vacuum so it does not fall.
Customers should look for a vacuum cleaner with good drop sensors to make sure it cleans safely.
Robot vacuums need to have good mapping technology.
It helps the vacuum move around the house and stay away from places that could be dangerous.
Sensors and cameras are used by mapping technology to make a map of the house and plan the vacuum’s cleaning path.
Customers should look for a vacuum with advanced mapping technology to make sure it cleans well and quickly.
The ability to control the vacuum with a smartphone or other device is a handy feature made possible by app integration.
With an app, users can set cleaning times, change how the vacuum cleans, and check on its progress from anywhere.
Customers should look for a vacuum cleaner that can be controlled by an app to make cleaning even easier.
When a battery lasts longer, it needs to be charged less often and can be cleaned better.
Customers should look for vacuum cleaners with batteries that can keep going for at least an hour.
This way, the vacuum will be able to clean the whole house without needing to be charged.
Overall, customers should look for a robot vacuum cleaner with advanced technology for detecting obstacles, good mapping features, and extra features like app integration and a long battery life.
By thinking about these things, customers can choose a vacuum cleaner that will clean quickly and easily.
In conclusion, obstacle detection is an important part of robot vacuums that helps them clean well and keeps them and your furniture from getting damaged.
As the owner of a vacuum cleaner, it is important to know what it can and can not do, and to clean and maintain it regularly to make sure it works at its best.
If you want to buy a robot vacuum, you should do your research and choose a model with good obstacle detection technology.
Even though it might be tempting to choose a cheaper model, buying a high-quality vacuum with advanced obstacle detection will save you time, money, and stress in the long run.
When choosing a robot vacuum, obstacle detection is just one of many things to think about.
But it is a very important one that can make all the difference in how fast and well your cleaning routine works.
So, whether you have had a vacuum before or you are buying one for the first time, take the time to think about how important obstacle detection is and choose a vacuum that will help you clean smarter, not harder.
Looking for a new robot vacuum?
Choosing a gadget can be very difficult if you know nothing about the technology.
Some will pay for features they do not need while others may not consider what they really want.
So I created this quick, newbie guide to help you focus on what is really important to you:
Links and references
– “A Robust Obstacle Detection Method for Robotic Vacuum Cleaners” by J. Kim et al.
– “Design of Autonomous Cleaning Robot” by M. Kiviharju
My article on the topic: